| Ref.No: | 61512700 |
| Start date: | 01.04.2022 |
| End date: | 28.02.2025 |
| Approval date: | 24.03.2022 |
| Department: | ELECTRICAL & COMPUTER ENGINEERING |
| Sector: | COMPUTER SCIENCE |
| Financier: | 3Η ΠΡΟΚΗΡΥΞΗ ΕΛΙΔΕΚ Υ.Δ., ELIDEK |
| Budget: | 31.500,00 € |
| Public key: | 6Ζ8Ζ46ΨΖΣ4-ΤΓΔ |
| Scientific Responsible: | Prof. STAMOU |
| Email: | gstam@cs.ntua.gr |
| Description: | RESEARCHING AND DEVELOPING NEW NEURAL NETWORK ARCHITECTURES TOWARDS VARIOUS APPLICATIONS IS CONSIDERED TO LEAD TO THE IMPROVEMENT OF THE CURRENT PERFORMANCE OF GANS, WHICH ARE OFTEN DEMONSTRATING INSTABILITIES DURING TRAINING. PERFORMANCE IMPROVEMENT IS |
